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- Tasks: Lead the design and delivery of complex AI-native systems and engage with cutting-edge technologies.
- Company: Private equity-backed firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on impactful projects in a dynamic environment.
- Qualifications: 6-8 years in software or AI engineering with strong skills in LLMs and multi-agent systems.
- Other info: Join a forward-thinking team with excellent career advancement potential.
The predicted salary is between 72000 - 108000 £ per year.
Our client is a private equity backed firm looking for a Deep AI/Agentic Engineer to lead the design and delivery of the organisation's complex AI-native engagements, from agentic systems to semantic layers. This role pairs hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm’s long-term engineering capability.
Responsibilities:
- Design and build production-grade AI systems across:
- LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops.
- Multi-agent architectures, including planning, delegation, safety constraints, and monitoring.
- Retrieval & vector-based systems, embeddings, structured reasoning, and semantic workflows.
- Ontology & knowledge modelling literacy, enabling more precise reasoning and data alignment.
- Integrations & automation, including API workflows, tools, and enterprise connectors.
Skills:
- 6–8 years in Software/application engineering, AI engineering, or applied data engineering.
- Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores.
- Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns.
- Proficiency in Python, including the ability to build production-grade workflows.
- Experience with at least one cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, Anthropic, AWS etc.).
- Familiarity with semantic modelling, ontologies, or knowledge graph thinking - literacy required, mastery a bonus.
Deep AI/Agentic Engineer in Slough employer: ConSol Partners
Contact Detail:
ConSol Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep AI/Agentic Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and multi-agent systems. We want to see your hands-on experience, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common AI engineering scenarios and being ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Deep AI/Agentic Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Deep AI/Agentic Engineer role. Highlight your hands-on experience with LLMs, multi-agent systems, and any relevant cloud AI ecosystems to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our needs. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: We love seeing your technical prowess! Include examples of production-grade AI systems you've designed or built, especially those involving orchestration patterns and semantic workflows. This will help us understand your hands-on capabilities.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ConSol Partners
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, embeddings, and multi-agent systems. Be ready to discuss specific projects you've worked on that showcase your hands-on experience with these technologies. The more you can demonstrate your expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex engineering challenges in the past. Think of examples where you designed production-grade AI systems or implemented effective orchestration patterns. This will show them you can think critically and lead technical projects.
✨Understand Their Needs
Research the firm and their current AI-native engagements. Tailor your responses to align with their goals and challenges. If you can speak directly to how your skills can help shape their enterprise outcomes, you'll definitely stand out.
✨Be Ready for Technical Questions
Expect some deep dives into your technical knowledge during the interview. Brush up on Python and any cloud AI ecosystems you're familiar with. Practise explaining your thought process clearly, as this will demonstrate your ability to communicate complex ideas effectively.
